Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (22): 1-14.DOI: 10.3778/j.issn.1002-8331.2106-0166

• Research Hotspots and Reviews • Previous Articles     Next Articles

Research Progress of Natural Language Processing Based on Deep Learning

JIANG Yangyang, JIN Bo, ZHANG Baochang   

  1. 1.Beihang University Library, Beijing 100191, China
    2.International Development Research Institute, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    3.School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
    4.Institute of Artificial Intelligence, Beihang University, Beijing 100191, China
  • Online:2021-11-15 Published:2021-11-16



  1. 1.北京航空航天大学 图书馆,北京 100191
    2.北京建筑大学 国际化发展研究院,北京 100044
    3.北京航空航天大学 自动化科学与电气工程学院,北京 100191
    4.北京航空航天大学 人工智能研究院,北京 100191


This paper comprehensively analyzes the research of deep learning in the field of natural language processing through a combination of quantitative and qualitative methods. It uses CiteSpace and VOSviewer to draw a knowledge graph of countries, institutions, journal distribution, keywords co-occurrence, co-citation network clustering, and timeline view of deep learning in the field of natural language processing to clarify the research. Through mining important researches in the field, this paper summarizes the research trend, the main problems, development bottlenecks, and gives corresponding solutions and ideas. Finally, suggestions are given on how to track the research of deep learning in the field of natural language processing, and provides references for subsequent research and development in the field.

Key words: Deep Learning(DL), Natural Language Processing(NLP), knowledge graph, visualization



关键词: 深度学习(DL), 自然语言处理(NLP), 知识图谱, 可视化